Song Luyao, Yang Teng, Xia Shangguang, Yin Zhong, Liu Xu, Li Shaopeng, Sun Ruibo, Gao Hongjian, Chu Haiyan, Ma Chao
Anhui Province Key Lab of Farmland Ecological Conservation and Pollution Prevention, Engineering and Technology Research Center of Intelligent Manufacture and Efficicent Utilization of Green Phosphorus Fertilizer of Anhui Province, College of Resources and Environment, Anhui Agricultural University, Hefei 230036, China; Key Laboratory of JiangHuai Arable Land Resources Protection and Eco-restoration, Ministry of Natural Resources, College of Resources and Environment, Anhui Agricultural University, Hefei 230036, China.
State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China.
Sci Total Environ. 2022 Dec 15;852:158438. doi: 10.1016/j.scitotenv.2022.158438. Epub 2022 Aug 31.
The elevational distribution of bacterial communities in the surface soil of natural mountain forests has been widely studied. However, it remains unknown if microbial communities in surface and sub-surface soils exhibit a similar distribution pattern with elevation. To do so, Illumina HiSeq sequencing was applied to study the alterations in soil bacterial communities of different soil layers, along an altitudinal gradient from 500 to 1100 m on Huangshan Mountain in Anhui Province, China. Our results revealed a significant higher diversity of the bacterial communities in surface soil layers than in subsurface layers. Adonis analysis showed that soil layer had a greater influence on the composition of the bacterial communities than the elevation. The distance-based multivariate linear model suggested that soil labile organic carbon and elevation were the main element influencing the bacterial community composition in surface and subsurface soils, respectively. A remarkable difference appeared between the co-occurrence network structures of bacterial communities in different soil layers. Compared with the subsurface soil, surface soil had more edges, average degree, and much higher clustering coefficient. The two-way ANOVA results highlighted the significant impact of soil layers on the topological properties of the network compared with that of elevation. The keystone species belonged to Rhodospirillaceae in the surface soil, while the OTUs belonged to Actinomycetales in the subsurface soil. Collectively, our results demonstrate that the effects of soil depth on soil bacterial community composition and network properties of subtropical forest in Huangshan Mountain were significantly higher than those of elevation, with different keystone species in different soil layers. These findings can be served as an important basis for better understanding the microbial functions influencing the maintenance of habitat heterogeneity, biodiversity, and ecosystem services in forests ecosystems.
天然山林表层土壤中细菌群落的海拔分布已得到广泛研究。然而，表层和亚表层土壤中的微生物群落是否随海拔呈现相似的分布模式仍不清楚。为此，应用Illumina HiSeq测序技术，研究了中国安徽省黄山海拔500至1100米梯度上不同土层土壤细菌群落的变化。我们的结果表明，表层土壤层中细菌群落的多样性显著高于亚表层。Adonis分析表明，土层对细菌群落组成的影响大于海拔。基于距离的多元线性模型表明，土壤易分解有机碳和海拔分别是影响表层和亚表层土壤细菌群落组成的主要因素。不同土层细菌群落的共现网络结构存在显著差异。与亚表层土壤相比，表层土壤具有更多的边、平均度和更高的聚类系数。双向方差分析结果突出了土层对网络拓扑性质的影响显著高于海拔。表层土壤中的关键物种属于红螺菌科，而亚表层土壤中的OTU属于放线菌目。总体而言，我们的结果表明，黄山亚热带森林土壤深度对土壤细菌群落组成和网络性质的影响显著高于海拔，不同土层有不同的关键物种。这些发现可为更好地理解影响森林生态系统中栖息地异质性、生物多样性和生态系统服务维持的微生物功能提供重要依据。
